Léa Guerrini‐Rousseau

2.0k total citations
40 papers, 585 citations indexed

About

Léa Guerrini‐Rousseau is a scholar working on Genetics, Molecular Biology and Neurology. According to data from OpenAlex, Léa Guerrini‐Rousseau has authored 40 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Genetics, 14 papers in Molecular Biology and 12 papers in Neurology. Recurrent topics in Léa Guerrini‐Rousseau's work include Glioma Diagnosis and Treatment (15 papers), Childhood Cancer Survivors' Quality of Life (8 papers) and Neuroblastoma Research and Treatments (8 papers). Léa Guerrini‐Rousseau is often cited by papers focused on Glioma Diagnosis and Treatment (15 papers), Childhood Cancer Survivors' Quality of Life (8 papers) and Neuroblastoma Research and Treatments (8 papers). Léa Guerrini‐Rousseau collaborates with scholars based in France, Germany and Netherlands. Léa Guerrini‐Rousseau's co-authors include Jacques Grill, Pascale Varlet, Felipe Andreiuolo, Stéphanie Puget, Christelle Dufour, Birgit Geoerger, Cathy Philippe, Catherine Richon, Gilles Vassal and Laurence Brugières and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Léa Guerrini‐Rousseau

37 papers receiving 580 citations

Peers

Léa Guerrini‐Rousseau
Comparison fields: 5 of 67
  • Genetics 308
  • Molecular Biology 231
  • Neurology 170
  • Pediatrics, Perinatology and Child Health 97
  • Cancer Research 97
Replace Mohamed S Abdelbaki with:
Mohamed S Abdelbaki United States
Anne‐Isabelle Bertozzi France
Marta Perek‐Polnik Poland
Anthony P. Y. Liu Hong Kong
Meong Hi Son South Korea
Valérie Larouche Canada
Nasjla Saba da Silva Brazil
Anna Clerico Italy
Michal Zápotocký Czechia
Sascha Marx Germany
Mohamed S Abdelbaki United States View profile →
Citations per field, relative to Léa Guerrini‐Rousseau
Léa Guerrini‐Rousseau · 1×
Citations per year, relative to Léa Guerrini‐Rousseau
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Countries citing papers authored by Léa Guerrini‐Rousseau

Since Specialization
Citations

This map shows the geographic impact of Léa Guerrini‐Rousseau's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Léa Guerrini‐Rousseau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Léa Guerrini‐Rousseau more than expected).

Fields of papers citing papers by Léa Guerrini‐Rousseau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Léa Guerrini‐Rousseau. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Léa Guerrini‐Rousseau. The network helps show where Léa Guerrini‐Rousseau may publish in the future.

Co-authorship network of co-authors of Léa Guerrini‐Rousseau

This figure shows the co-authorship network connecting the top 25 collaborators of Léa Guerrini‐Rousseau. A scholar is included among the top collaborators of Léa Guerrini‐Rousseau based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Léa Guerrini‐Rousseau. Léa Guerrini‐Rousseau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 1
4 0
5 3
6 3
7 5
8 1
9 1
10 4
11 3
12 3
13 2
14 12
15 63
16 17
17 14
18 1
19 23
20 169

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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